Senior Manager, Data Science-Pricing

Senior Manager, Data Science-Pricing:

· Lead the team in building data products, uncovering valuable customer insights, and communicating key discoveries. · Coach and mentor junior team members. · Drive better decision-making across the Strategic Pricing and Product domains. · Develop strong partnerships with stakeholders to ensure alignment and success · Translate business questions into data problems and define solutions roadmap. · Build analytics solutions independently and with cross-functional teams. · Develop and promote analytics products and insights. · Establish KPIs and drive data-driven decision-making across business teams. · Collaborate and establish expertise in advanced analytics. · Drive understanding of strategic pricing initiatives across departments.

Telecommuting permitted up to 20% per week. Full time employment, Monday – Friday, 40 hours per week. Pay Range: $235,000 - $283,500 per year.

From free coffee to competitive pay, Starbucks is proud to offer a comprehensive compensation and benefits package to our eligible part-time and full-time partners. Benefits include 100% tuition coverage through our Starbucks College Achievement Plan, health coverage with a variety of plans to choose from, and stock & savings programs like our equity reward program, Bean Stock. What’s more, Starbucks offers flexible scheduling and opportunities for paid time off. Visit starbucksbenefits.com for details.

MINIMUM REQUIREMENTS:

Must have a Bachelor’s degree in Quantitative Management, Business Analytics, or a related field and 7 years of progressive, post-baccalaureate work experience in a data science role or related role.

In the alternative, employer will also accept a Master’s degree in Quantitative Management, Business Analytics, or a related field, and 5 years of work experience in a data science role or related role.

Must have 5 years of experience in Python.

Must have 5 years of experience in developing pricing models.

Must have 5 years of experience in machine learning and statistical modeling techniques including regression, decision trees, classification, causal inference, and clustering algorithms.

Must have 5 years of experience in SQL.

Must have 5 years of experience with cloud tech for data and analytics solutions.

Must have 3 years of experience in managing a data science team.

Must have 3 years of experience in production machine learning systems development, package creation, code repository management, and software development best practices.

Must have work experience with Azure.

Must have work experience with Databricks or Snowflake.

Telecommuting permitted up to 20% per week.

Company Name: Starbucks Coffee Company Location: Seattle, WA

TO APPLY: https://starbucks.taleo.net/careersection/1000222im3/jobdetail.ftl?job=260082810&lang=en